Computational Intelligence

11. A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition
Author(s): Yang Li;Lei Wang;Wenming Zheng;Yuan Zong;Lei Qi;Zhen Cui;Tong Zhang;Tengfei Song
Pages: 354 - 367

12. Epileptic Signal Classification Based on Synthetic Minority Oversampling and Blending Algorithm
Author(s): Dinghan Hu;Jiuwen Cao;Xiaoping Lai;Junbiao Liu;Shuang Wang;Yao Ding
Pages: 368 - 382

13. Reconfiguration of Brain Network Between Resting State and P300 Task
Author(s): Fali Li;Chanlin Yi;Yuanyuan Liao;Yuanling Jiang;Yajing Si;Limeng Song;Tao Zhang;Dezhong Yao;Yangsong Zhang;Zehong Cao;Peng Xu
Pages: 383 - 390

14. A Novel Grip Force Cognition Scheme for Robot-Assisted Minimally Invasive Surgery
Author(s): Yongchen Guo;Bo Pan;Yili Fu;Max Q.-H. Meng
Pages: 391 - 402

15. Investigation of Local White Matter Properties in Professional Chess Player: A Diffusion Magnetic Resonance Imaging Study Based on Automatic Annotation Fiber Clustering
Author(s): Yuanjing Feng;Jiahao Song;Wenxuan Yan;Jingqiang Wang;Changchen Zhao;Qingrun Zeng
Pages: 403 - 415

16. Robot Multimodal Object Perception and Recognition: Synthetic Maturation of Sensorimotor Learning in Embodied Systems
Author(s): Raphaël Braud;Alexandros Giagkos;Patricia Shaw;Mark Lee;Qiang Shen
Pages: 416 - 428

17. A Hippocampal–Entorhinal System Inspired Model for Visual Concept Representation
Author(s): Huankun Sheng;Hongwei Mo;Christian-Marie Moanda Ndeko Mosengo
Pages: 429 - 441

Call for Papers
IEEE Transactions on Cognitive and Developmental Systems Special Issue on Prediction and Perception in Humans and Robots
Pages: 442 - 442

Wednesday, June 16, 2021

Soft Computing Volume 25, issue 13, July 2021

1) New estimator for the variances of strata in ranked set sampling
Author(s): M. Mahdizadeh & Ehsan Zamanzade
Pages: 8007 - 8013

2) CA-CSM: a novel clustering algorithm based on cluster center selection model
Author(s): Jin Yu, Xiaoming You & Sheng Liu
Pages: 8035 - 8050

3) An infeasible solutions diversity maintenance epsilon constraint handling method for evolutionary constrained multiobjective optimization
Author(s): Jinlong Zhou, Juan Zou...Tingrui Pei

Pages: 8051 - 8062

4) Interval-valued belief entropies for Dempster–Shafer structures
Author(s): Yige Xue & Yong Deng
Pages: 8063 - 8071

5) Sum of n-dimensional observables on MV-effect algebras
Author(s): Anatolij Dvurečenskij
Pages: 8073 - 8084

6) The spectra and reticulation of EQ-algebras
Author(s): Xiongwei Zhang & Jiang Yang
Pages: 8085 - 8093

7) An integrated shrinkage strategy for improving efficiency in fuzzy regression modeling
Author(s): Mojtaba Kashani, Mohammad Reza Rabiei & Mohammad Arashi
Pages: 8095 - 8107

8) Developing a new integrated artificial immune system and fuzzy non-discretionary DEA approach
Author(s): Alireza Amirteimoori, Majid Zadmirzaei & Fahimeh Hassanzadeh
Pages: 8109 - 8127

9) Heat transfer relation-based optimization algorithm (HTOA)
Author(s): Foad Asef, Vahid Majidnezhad...Saeed Parsa
Pages: 8129 - 8158

10) Internet of things to protect the environment: a technological transdisciplinary project to develop mathematics with ethical effects
Author(s): F. S. Tortoriello & I. Veronesi
Pages: 8159 - 8168

11) Machine seismic: an automatic approach for the identification of subsurface structural models
Author(s): Khawar Ashfaq Ahmed, Sarfraz Khan...Mahmood Sultan
Pages: 8169 - 8176

12) Ranking interval type-2 fuzzy number based on a novel value-ambiguity ranking index and its application in risk analysis
Author(s): Rituparna Chutia
Pages: 8177 - 8196

13) Economic resources’ allocation: A goal programming model integrated with a social accounting matrix
Author(s): Nooraddin Sharify
Pages: 8197 - 8204

14) Pythagorean fuzzy linguistic decision support model based on consistency-adjustment strategy and consensus reaching process
Author(s): Jinpei Liu, Mengdi Fang...Pengcheng Du
Pages: 8205 - 8221

15) A clique-based discrete bat algorithm for influence maximization in identifying top-k influential nodes of social networks
Author(s): Lihong Han, Kuan-Ching Li...Qingguo Zhou
Pages: 8223 - 8240

16) An efficient solution strategy for bilevel multiobjective optimization problems using multiobjective evolutionary algorithm
Author(s): Hong Li & Li Zhang
Pages: 8241 - 8261

17) Interval-valued hesitant fuzzy TODIM method for dynamic emergency responses
Author(s): Quanyu Ding, Mark Goh & Ying-Ming Wang
Pages: 8263 - 8279

18) Integrating mutation operator into grasshopper optimization algorithm for global optimization
Author(s): Sanaa A. A. Ghaleb, Mumtazimah Mohamad...Waheed A. H. M. Ghanem
Pages: 8281 - 8324

19) A cooperative bat searching algorithm with application to model predictive control
Author(s): Haopeng Zhang
Pages: 8325 - 8335

20) Recent trends in knowledge graphs: theory and practice
Author(s): Sanju Tiwari, Fatima N. Al-Aswadi & Devottam Gaurav
Pages: 8337 - 8355

21) MBFerns: classification and extraction of actionable knowledge using Multi-Branch Ferns-based Naive Bayesian classifier
Author(s): U. B. Angadi, Anil Rai & G. Uma
Pages: 8357 - 8369

22) Development of a supply chain configuration model for new product development: a multi-objective solution approach
Author(s): Amit Kumar Sinha & Ankush Anand
Pages: 8371 - 8389

23) A hybrid fuzzy COPRAS-base-criterion method for multi-criteria decision making
Author(s): Monika Narang, M. C. Joshi & A. K. Pal
Pages: 8391 - 8399

24) Penalized regression via the restricted bridge estimator
Author(s): Bahadır Yüzbaşı, Mohammad Arashi & Fikri Akdeniz
Pages: 8401 - 8416

25) Bipolar trapezoidal neutrosophic sets and their Dombi operators with applications in multicriteria decision making
Author(s): Hüseyin Kamacı, Harish Garg & Subramanian Petchimuthu
Pages: 8417 - 8440

26) Q-neutrosophic soft graphs in operations management and communication network
Author(s): Vakkas Uluçay
Pages: 8441 - 8459

27) Weighted support vector machine using fuzzy rough set theory
Author(s): Somaye Moslemnejad & Javad Hamidzadeh
Pages: 8461 - 8481

28) Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models

Author(s): Milad Shahvaroughi Farahani & Seyed Hossein Razavi Hajiagha
Pages: 8483 - 8513

29) Pricing rules of Green Supply Chain considering Big Data information inputs and cost-sharing model

Author(s): Pan Liu
Pages: 8515 - 8531

30) Representations of Sheffer stroke algebras and Visser algebras
Author(s): Ali Molkhasi
Pages: 8533 - 8538

31) An efficient Monte Carlo simulation for new uncertain Heston–CIR hybrid model
Author(s): Behrouz Fathi-Vajargah, Mohammad Mirzazadeh & Sara Ghasemalipour
Pages: 8539 - 8547

32) Decision aid modeling based on sine trigonometric spherical fuzzy aggregation information
Author(s): Shahzaib Ashraf & Saleem Abdullah
Pages: 8549 - 8572

33) Ordering of functions according to multiple fuzzy criteria: application to denoising electroencephalography
Author(s): Burgos-Madrigal Andrea, Orihuela-Espina Felipe & Reyes-García Carlos Alberto
Pages: 8573 - 8593

34) On a new distance measure of three-parameter interval numbers and its application to pattern recognition
Author(s): Xingxing He, Yingfang Li & Keyun Qin
Pages: 8595 - 8607

35) Some new algebraic structures of soft sets

Author(s): Emin Aygün & Hüseyin Kamacı
Pages: 8609 - 8626

36) An approximate solution of Riccati’s differential equation using fuzzy linguistic model
Author(s): S. Mohammadzadeh far, M. Adabitabar Firozja...B. Agheli
Pages: 8627 - 8633

37) Bi-Level linear programming of intuitionistic fuzzy
Author(s): Nazek A. Alessa
Pages: 8635 - 8641

38) On (1,2)*-fuzzy soft b-continuity in fuzzy soft bitopological spaces
Author(s): A. F. Sayed
Pages: 8643 - 8652

39) European barrier option pricing formulas of uncertain currency model
Author(s): Jie Deng & Zhongfeng Qin
Pages: 8653 - 8663

40) A wrapper metaheuristic framework for handwritten signature verification
Author(s): Emrah Hancer, Ilya Hodashinsky...Artyom Slezkin
Pages: 8665 - 8681

41) A comparative study of nature-inspired metaheuristic algorithms using a three-phase hybrid approach for gene selection and classification in high-dimensional cancer datasets
Author(s): Shilan S. Hameed, Wan Haslina Hassan...Fahmi F. Muhammadsharif
Pages: 8683 - 8701

42) Scalable incremental fuzzy consensus clustering algorithm for handling big data
Author(s): Preeti Jha, Aruna Tiwari...Mukkamalla Mounika
Pages: 8703 - 8719

43) Three-class brain tumor classification using deep dense inception residual network
Author(s): Srinath Kokkalla, Jagadeesh Kakarla...Munesh Singh
Pages: 8721 - 8729

44) Attribute dependency data analysis for massive datasets by fuzzy transforms
Author(s): Ferdinando Di Martino & Salvatore Sessa
Pages: 8731 - 8746

45) Deep neural network hyper-parameter tuning through twofold genetic approach
Author(s): Puneet Kumar, Shalini Batra & Balasubramanian Raman
Pages: 8747 - 8771

46) Combining hidden Markov models with probabilistic Bayes networks to conduct business forecasting and risk simulation
Author(s): Chih-Hsuan Wang & Jen-Zen Chen
Pages: 8773 - 8784

47) A feature subset selection algorithm based on equal interval division and three-way interaction information
Author(s): Xiangyuan Gu & Jichang Guo
Pages: 8785 - 8795

48) A proposal to use the inverse problem for determining parameters in a constitutive model for concrete
Author(s): W. M. Pereira Junior, R. A. Borges...J. J. C. Pituba
Pages: 8797 - 8815

49) An adaptive sequential-filtering learning system for credit risk modeling
Author(s): Salim Lahmiri, Anastasia Giakoumelou & Stelios Bekiros
Pages: 8817 - 8824

50) Correction to: An adaptive sequential-filtering learning system for credit risk modeling
Author(s): Salim Lahmiri, Anastasia Giakoumelou & Stelios Bekiros
Pages: 8825 - 8825

Tuesday, June 15, 2021

Soft Computing, Volume 25, issue 12, June 2021

1. Editorial: Special issue on soft computing in economic application
Author(s): Hung T. Nguyen & Vladik Kreinovich
Pages: 7693 - 7694

2. An improved QPSO algorithm and its application in fuzzy portfolio model with constraints
Author(s): Guang He & Xiao-li Lu
Pages: 7695 - 7706

3. Analysis of autocorrelation function of stochastic processes by F-transform of higher degree
Author(s): Michal Holčapek & Linh Nguyen
Pages: 7707 - 7730

4. A transparent rule-based expert system using neural network
Author(s): Abhinaba Dattachaudhuri, Saroj Kr. Biswas...Sunita Sarkar
Pages: 7731 - 7744

5. On soft computing with random fuzzy sets in econometrics and machine learning
Author(s): Roengchai Tansuchat, Uyen Pham & Chon Van Le
Pages: 7745 - 7751

6. Why linear expressions in discounting and in empathy: a symmetry-based explanation
Author(s): Supanika Leurcharusmee, Laxman Bokati & Olga Kosheleva
Pages: 7753 - 7759

7. Theoretical justifications for the empirically successful VIKOR approach to multi-criteria decision making
Author(s): Muhammad Jabir Khan, Poom Kumam & Wiyada Kumam
Pages: 7761 - 7767

8. Two deep learning approaches to forecasting disaggregated freight flows: convolutional and encoder–decoder recurrent
Author(s): Isidro Lloret, José A. Troyano...Juan-José González-de-la-Rosa
Pages: 7769 - 7784

9. Deep customer segmentation with applications to a Vietnamese supermarkets’ data
Author(s): Son P. Nguyen
Pages: 7785 - 7793

10. Estimating the location parameter under skew normal settings: is violating the independence assumption good or bad?
Author(s): Cong Wang, Tonghui Wang...Khanittha Talordphop
Pages: 7795 - 7802

11. Inflation expectations quantification with fuzzy control system
Author(s): Aleksandra Rutkowska & Magdalena Szyszko
Pages: 7803 - 7812

12. A fuzzy method for evaluating similar behavior between assets
Author(s): Soheyla Mirshahi & Vilém Novák
Pages: 7813 - 7823

13. Sparse estimations in kink regression model
Author(s): Woraphon Yamaka
Pages: 7825 - 7838

14. A convex combination approach for Markov switching CAPM of interval data
Author(s): Woraphon Yamaka & Rungrapee Phadkantha
Pages: 7839 - 7851

15. Linkage structure of China’s housing market and its risk-defusing capability
Author(s): Yehui Wang, Jianxu Liu...Songsak Sriboonchitta
Pages: 7853 - 7866

16. On regularization of generalized maximum entropy for linear models
Author(s): Paravee Maneejuk
Pages: 7867 - 7875

17. Multi-agent reinforcement learning approach for hedging portfolio problem
Author(s): Uyen PhamQuoc Luu & Hien Tran
Pages: 7877 - 7885

18. Forecasting foreign exchange markets: further evidence using machine learning models
Author(s): Paravee Maneejuk & Wilawan Srichaikul
Pages: 7887 - 7898

19. Fuzzy equilibrium via best proximity pairs in abstract economies
Author(s): Premyuda Dechboon, Poom Kumam...Sompong Dhompongsa
Pages: 7899 - 7905

20. Machine learning in recycling business: an investigation of its practicality, benefits and future trends
Author(s): Du Ni, Zhi Xiao & Ming K. Lim
Pages: 7907 - 7927

21. Generating negations of probability distributions
Author(s): Ildar Batyrshin, Luis Alfonso Villa-Vargas...Nailya Kubysheva
Pages: 7929 - 7935

22. Application of an extended VES production function model based on improved PSO algorithm
Author(s): Maolin Cheng & Bin Liu
Pages: 7937 - 7945

23. Impacts of public medical insurance reforms on households: An application of fuzzy cognitive map for scenario evaluation
Author(s): Yeonggyu Yun & Hye-Young Jung
Pages: 7947 - 7956

24. Detection of price bubbles in Istanbul housing market using LSTM autoencoders: a district-based approach
Author(s): Ebubekir Ayan & Süleyman Eken
Pages: 7957 - 7973

25. Estimating a probability distribution corresponding to the negation of a property
Author(s): Uyen Pham, Ildar Batyrshin...Olga Kosheleva
Pages: 7975 - 7983

26. When to stop testing software: economic approach
Author(s): Nguyen Ngoc Thach, Francisco Zapata & Olga Kosheleva
Pages: 7985 - 7989

27. How effective are we: towards a more convincing Stochastic Frontier analysis
Author(s): Nguyen Ngoc Thach, Laura Berrout & Olga Kosheleva
Pages: 7991 - 7996

28. Even in simple economic systems, equilibrium can be non-unique: an example
Author(s): Nancy Solis García, José Guadalupe Flores Muñiz...Olga Kosheleva
Pages: 7997 - 8001

29. Impact of super heavy load vehicles on transportation infrastructure: economic aspects
Author(s): Nguyen Ngoc Thach, Ali Morovatdar...Olga Kosheleva
Pages: 8003 - 8006

Monday, June 14, 2021

Complex & Intelligent Systems, Volume 7, issue 3, June 2021

Special Issue: Knowledge fusion intelligent optimization for complex systems

1. Guest Editorial on “Knowledge fusion intelligent optimization for complex systems”
Author(s): Ling Wang & Feng Wang
Pages: 1123 - 1124

2. An estimation of distribution algorithm with branch-and-bound based knowledge for robotic assembly line balancing
Author(s): Bin-qi Sun & Ling Wang
Pages: 125 - 1138

3. Artificial bee colony algorithm based on knowledge fusion
Author(s): Hui Wang, Wenjun Wang...Minyang Xu
Pages: 1139 - 1152

4. Multi-objective microservice deployment optimization via a knowledge-driven evolutionary algorithm
Author(s): Wubin Ma Rui Wang...Yahui Wu
Pages: 1153 - 1171

5. An improved simulated annealing algorithm based on residual network for permutation flow shop scheduling
Author(s): Yang Li, Cuiyu Wang...Xinyu Li
Pages: 1173 - 1183

6. Genetic programming with separability detection for symbolic regression
Author(s): Wei-Li Liu, Jiaquan Yang...Shibin Wang
Pages: 1185 - 1194

7. FMCGP: frameshift mutation cartesian genetic programming
Author(s): Wei Fang & Mindan Gu
Pages: 1195 - 1206

8. Solving two-stage stochastic route-planning problem in milliseconds via end-to-end deep learning
Author(s): Jie Zheng, Ling Wang...Jize Pan
Pages: 1207 - 1222

9. Knowledge-guided multiobjective particle swarm optimization with fusion learning strategies
Author(s): Wei Li, Xiang Meng...Soroosh Mahmoodi
Pages: 1223 - 1239

10. Explainable recommendation based on knowledge graph and multi-objective optimization
Author(s): Lijie Xie, Zhaoming Hu...Jinjun Chen
Pages: 1241 - 1252

11. Smart healthcare solutions using the internet of medical things for hand gesture recognition system
Author(s): Nourelhoda M. Mahmoud, Hassan Fouad & Ahmed M. Soliman
Pages: 1253 - 1264

12. A two-level computer vision-based information processing method for improving the performance of human–machine interaction-aided applications
Author(s): Osama Alfarraj & Amr Tolba
Pages: 1265 - 1275

13. A novel hand-crafted with deep learning features based fusion model for COVID-19 diagnosis and classification using chest X-ray images
Author(s): K. Shankar & Eswaran Perumal
Pages: 1277 - 1293

14. Improving ductal carcinoma in situ classification by convolutional neural network with exponential linear unit and rank-based weighted pooling
Author(s): Yu-Dong Zhang, Suresh Chandra Satapathy...Shui-Hua Wang
Pages: 1295 - 1310

15. Industry 4.0, a revolution that requires technology and national strategies
Author(s): Fengwei Yang & Sai Gu
Pages: 1311 - 1325

16. A comprehensive taxonomy of security and privacy issues in RFID
Author(s): Atul KumarAnkit Kumar JainMohit Dua
Pages: 1327 - 1347

17. A solution algorithm for integrated production-inventory-routing of perishable goods with transshipment and uncertain demand
Author(s): Peide Liu, Ayad Hendalianpour...Mohamad Sadegh Sangari
Pages: 1349 - 1365

18. Attention neural collaboration filtering based on GRU for recommender systems
Author(s): Hongbin Xia, Yang Luo & Yuan Liu
Pages: 1367 - 1379

19. Period-doubling bifurcation analysis and chaos control for load torque using FLC
Author(s): Eman Moustafa, Abdel-Azem Sobaih...Amged Sayed A. Mahmoud
Pages: 1381 - 1389

20. A bi-stage surrogate-assisted hybrid algorithm for expensive optimization problems
Author(s): Zhihai Ren, Chaoli Sun...Shufen Qin
Pages: 1391 - 1405

21. Multi-stage timetable rescheduling for high-speed railways: a dynamic programming approach with adaptive state generation
Author(s): Guoqi Feng, Peng Xu...Qi Zhang
Pages: 1407 - 1428

22. Improved bag-of-features using grey relational analysis for classification of histology images
Author(s): Raju Pal, Mukesh Saraswat & Himanshu Mittal
Pages: 1429 - 1443

23. The electric vehicle routing problem with partial recharge and vehicle recycling
Author(s): Yuzhen Zhou, Jincai Huang...Kuihua Huang
Pages: 1445 - 1458

24. Hexagonal fuzzy approximation of fuzzy numbers and its applications in MCDM
Author(s): V. Lakshmana Gomathi Nayagam & Jagadeeswari Murugan
Pages: 1459 - 1487

25. Hybrid structures applied to ideals in near-rings
Author(s): B. Elavarasan, G. Muhiuddin...Y. B. Jun
Pages: 1489 - 1498

26. Two-stage multi-tasking transform framework for large-scale many-objective optimization problems
Author(s): Lu Chen, Handing Wang & Wenping Ma
Pages: 1499 - 1513

27. Strengthening the PSO algorithm with a new technique inspired by the golf game and solving the complex engineering problem
Author(s): Serkan Dereli & Raşit Köker
Pages: 1515 - 1526

28. Modified artificial bee colony algorithm for solving mixed interval-valued fuzzy shortest path problem
Author(s): Ali Ebrahimnejad, Mohammad Enayattabr...Harish Garg
Pages: 1527 - 1545

29. A holistic FMEA approach by fuzzy-based Bayesian network and best–worst method
Author(s): Melih Yucesan, Muhammet Gul & Erkan Celik
Pages: 1547 - 1564

30. Cohort intelligence with self-adaptive penalty function approach hybridized with colliding bodies optimization algorithm for discrete and mixed variable constrained problems
Author(s): Ishaan R. Kale & Anand J. Kulkarni
Pages: 1565 - 1596

31. Representation and application of Fuzzy soft sets in type-2 environment
Author(s): Biplab Paik & Shyamal Kumar Mondal
Pages: 1597 - 1617

32. SRPM–CNN: a combined model based on slide relative position matrix and CNN for time series classification
Author(s): Taoying Li, Yuqi Zhang & Ting Wang
Pages: 1619 - 1631

33. Multi-constrained cooperative path planning of multiple drones for persistent surveillance in urban environments
Author(s): Yu Wu, Shaobo Wu & Xinting Hu
Pages: 1633 - 1647

34. Stance detection using improved whale optimization algorithm
Author(s): Avinash Chandra PandeyVinay Anand Tikkiwal
Pages: 1649 - 1672

35. Multiple attribute group decision-making based on cubic linguistic Pythagorean fuzzy sets and power Hamy mean
Author(s): Wuhuan Xu, Xiaopu Shang & Jun Wang
Pages: 1673 - 1693

36. Interval type-2 fuzzy aggregation operator in decision making and its application
Author(s): M. Lathamaheswari, D. Nagarajan...Said Broumi
Pages: 1695 - 1708

Friday, June 11, 2021

Evolving Systems, Volume 12, issue 2, June 2021

1. Loss of target information in full pixel and subpixel target detection in hyperspectral data with and without dimensionality reduction

Author(s): Amrita Bhandari & K. C. Tiwari

Pages: 239 - 254

2. Parameter identification of nonlinear system using an improved Lozi map based chaotic optimization algorithm (ILCOA)
Author(s): S. Mohammadreza Ebrahimi, Milad Malekzadeh...S. Hassan HosseinNia
Pages: 255 - 272

3. Classification of breast mass in mammography using anisotropic diffusion filter by selecting and aggregating morphological and textural features
Author(s): Youcef Gherghout, Yamina Tlili & Labiba Souici
Pages: 273 - 302

4. Self-organized direction aware for regularized fuzzy neural networks
Author(s): Paulo Vitor de Campos Souza, Cristiano, Fraga Guimaraes Nunes...Vincius Jonathan Silva Arajuo
Pages: 303 - 317

5. An efficient method for classifying motor imagery using CPSO-trained ANFIS prediction
Author(s): M. R. Mosavi, A. Ayatollahi & S. Afrakhteh
Pages: 319 - 336

6. A new emigrant utilization strategy for parallel artificial bee colony algorithm
Author(s): Selcuk Aslan
Pages: 337 - 357

7. A comparative study of cellular automata-based digital image scrambling techniques
Author(s): Zubair Jeelani & Fasel Qadir
Pages: 359 - 375

8. Evaluation of a dynamic classification method for multimodal ambiguities based on Hidden Markov Models
Author(s): Patrizia Grifoni, Maria Chiara Caschera & Fernando Ferri
Pages: 377 - 395

9. Canny edge detector improvement using an intelligent ants routing
Author(s): Karima Benhamza & Hamid Seridi
Pages: 397 - 406

10. Multitask learning applied to evolving fuzzy-rule-based predictors
Author(s): Amanda O. C. Ayres & Fernando J. Von Zuben
Pages: 407 - 422

11. Partitioning of a manufacturing system into machine cells—a practical application
Author(s): Yusuf Tansel İç, Bekir Volkan Ağca & Mustafa Yurdakul
Pages: 423 - 438

12. Restoration of artwork using deep neural networks
Author(s): Varun Gupta, Nitigya Sambyal,...Praveen Kumar
Pages: 439 - 446

13. Edge detection based on type-1 fuzzy logic and guided smoothening
Author(s): Sahil Raheja & Akshi Kumar
Pages: 447 - 462

14. Oppositional Crow Search Algorithm with mutation operator for global optimization and application in designing FOPID controller
Author(s): Santosh Kumar Majhi, Madhusmita Sahoo & Rosy Pradhan
Pages: 463 - 488

15. Efficient hybrid algorithms for density based subspace clustering to deal with density divergence for improved quality and conciseness
Author(s): B. Jaya Lakshmi, K. B. Madhuri & M. Shashi
Pages: 489 - 501

16. A novel method for digital image copy-move forgery detection and localization using evolving cellular automata and local binary patterns
Author(s): Gulnawaz Gani & Fasel Qadir
Pages: 503 - 517

17. Automatic pectoral muscle removal in mammograms
Author(s): Samuel Rahimeto, Taye Girma Debelee...Friedhelm Schwenker
Pages: 519 - 526

18. Comparison of two methods of removing EOG artifacts for use in a motor imagery-based brain computer interface
Author(s): M. Mohammadi & M. R. Mosavi
Pages: 527 - 540

19. A new flexible pricing mechanism considering price–quality relation for cloud resource allocation
Author(s): Sepideh Adabi, Fatemeh Alayin & Arash Sharifi
Pages: 541 - 565

20. Chest disease radiography in twofold: using convolutional neural networks and transfer learning
Author(s): Prakash Choudhary & Abhishek Hazra
Pages: 567 - 579

Thursday, June 10, 2021

So little time....

Douglas Adams once said "I love deadlines. I love the whooshing sound they make as they go by".

I used to suck at time-management. I have a real grasshopper mind, that jumps from one topic to another at such a rate that few people can keep up with me and they are flummoxed by the connections that I make between topics. That said, I have come up with a few tricks that allow me to manage my time so that I actually get things done. I still sometimes miss deadlines, but that's more due to workload than lack of time management.

1) Keeping a To-Do list. The most effective To-Do list manager I have ever had is a text file on my desktop called ToDo.txt. Each task is one line. When I complete a task, I delete it from ToDo.txt. That's it. No due-dates, no priorities, no having completed tasks hanging around with when it was completed. I put everything I need to do in this list. Even small tasks, like sending an email to someone, get added to the list if I can't do it straight away.

2) Doing one thing at a time. This is hard to do these days, as distractions are just a mouse click away. But I've lost so much time by starting one task, then another task, and not getting either of them done. So I try to get one specific task done, then start on the next. If something pops up during my pursuit of one task, then I put it on my To-Do list.

3) Get one task done first thing. I try to complete one small task when I arrive at work. This gets me into the mindset of working, and it gives me a psychological boost - no matter what distractions come my way the rest of the day, at least I've gotten that one thing done. What usually happens, though, is I do that one small thing, then another, then another, and before I know it, I've gotten a lot of things done. This ties in with rule #2, doing one thing at a time.

4) Having more than one project to do. No matter what project I'm working on, there will always come a point when I can't stand to work on it any more. Rather than just sit fuming at my lack of productivity, I switch to another task and work on that instead. I might not be moving forward on the first project, but I'm not being completely unproductive either. This is especially useful when working on papers, as I can never finish writing a paper in one sitting.

5) Getting enough rest. It is very tempting to think that working late, sacrificing sleep for work, means you get a lot done. After all, you can spend eight hours sleeping, and not working, or you can spend four hours sleeping and do an extra four hours work, right? Except those four hours extra late at night are nowhere near as productive as spending one hour the next day doing the same work with a clear mind and energetic body. Lack of sleep is terrible for the human body, it slows your mind down and just ruins your ability to handle complex intellectual tasks. You're much more likely to get sick more often, and how much does that impact your productivity? It's much better to sleep eight hours, then spend eight hours the next day at work, and maybe an hour or so working in the evening. You'll get a lot more done. Sometimes you will need to work late to hit a pressing deadline, but those incidents should be rare.

It can be hard to follow these principles. Life has a habit of getting in the way. But when I do follow them, I get a lot more done and I feel a lot better about myself, because I am being productive.

Friday, May 28, 2021

Bias in AI

When my daughter was a toddler, we bought her a batch of Looney Tunes DVDs. She loved watching Daffy Duck, Porky Pig, and Bugs Bunny. On her third birthday, we gave her a Road Runner DVD. She had her birthday at her grandparents' house, and so that's where she first watched Road Runner, after lunch.

The next time we visited, a couple of weeks later, straight after lunch she got up and walked towards the living room, saying she was going to watch "meep meep". I had to explain to her that that DVD was at home, it didn't stay at Grandma and Grandad's house.

Why did my daughter do that? It's because she had only ever seen Road Runner at Grandma and Grandad's house. In other words, she only had one example of where she could see Road Runner, so that was where she thought she would see it.

A couple of years later I was attending the viva of a PhD student, whose thesis I had examined. The thesis topic was predicting a medical condition from gene expression data. Gene expression was assigned certain values according to how much the gene was active. During the viva, the student made the comment that "expression was measured for those patients who had the condition, and was set to zero for those who did not". I was gobsmacked, as this meant that there were really no gene expression values at all for patients who did not have the condition.

A few years after that I was examining a PhD thesis that used neural networks for earthquake prediction. The central idea was that data from seismographs could be used to predict if an earthquake greater than a certain threshold would occur in the next few days. The data was taken from Canterbury in New Zealand, and started from September 2010, and went for just over a year.

The problem with this of course is that on the 4th of September 2010, the Darfield Earthquake struck Canterbury. The aftershocks continued for more than two years, that is, the length of the data set.

These are all examples of making predictions based on biased data. My daughter had biased data because she had only ever seen Road Runner at her grandparents' house.

The first student had biased data because there was really only data for one class of patient. They got good results, but that was because they trained a model on biased data then tested it on biased data. Their model would have failed utterly if it had been tested on a different data set.

The second student had biased data because the entire data set was constructed over a time when it was known that there were going to be earthquakes. So again, their model worked well when trained and tested on the data set they had, but it would have failed utterly if tested on a different data set. Hilariously, when I challenged the student on this in their viva, they replied "It's the right kind of bias"! A much better data set would have been one that extended over several years before and after the Darfield Earthquake, and had been taken from different regions.

While biased models in academic settings might not cause a lot of harm - other than to examiners' calm - such models are being used in production systems. This seems to be quite a widespread problem as well. It can even have deadly consequences.

Biased data leads to biased models. This is such a simple concept, yet so many people who build AI models don't seem to grasp it. Identifying biased data can be tricky, as it requires a solid understanding of what the data represents, how it was gathered, and what it is to be used for.

More insidiously, models built with biased data can show very good results. They will train well, and they will test well, as long as the test data is from the original, biased, data set. That is, as long as the test data is as biased as the training data, the model will show good test results.

This makes the sourcing and use of an independent testing data set essential. And that is probably the number one thing anyone to do to do avoid bias in AI. It's not foolproof - there might still be systemic biases in the process that generates the data - but it is an essential first step.

Saturday, July 25, 2020

Weekly Review 25 July 2020

Below are some of the interesting links I Tweeted about recently.

Why you shouldn't use the term "quantum neural network": https://www.datasciencecentral.com/profiles/blogs/quantum-neural-net-an-oxymoron
The annual IEEE list of top ten programming languages is out: https://spectrum.ieee.org/at-work/tech-careers/top-programming-language-2020
Moving Reinforcement Learning off of high-end servers: https://spectrum.ieee.org/tech-talk/artificial-intelligence/machine-learning/powerful-ai-can-now-be-trained-on-a-single-computer
Overview of Recurrent Neural Networks: https://www.kdnuggets.com/2020/07/rnn-deep-learning-sequential-data.html
Perturbing photos to defeat facial recognition: https://www.theregister.com/2020/07/22/defeat_facial_recognition/
A Q&A overview of recommender systems: https://www.kdnuggets.com/2020/07/recommender-systems-nutshell.html
The legal problems New Zealand is facing with AI in medicine: https://www.computerworld.com/article/3567103/ai-in-healthcare-neglected-area-in-new-zealand-law.html
So Facebook is finally looking for racial bias in its AI: https://www.technologyreview.com/2020/07/22/1005532/facebook-says-it-will-look-for-racial-bias-in-its-algorithms/
Unsurprisingly, the pandemic has accelerated the adoption of technology, including chatbots: https://www.techrepublic.com/article/chatbot-use-surges-amid-pandemic-as-digital-transformation-accelerates/

Monday, June 22, 2020

IEEE Transactions on Cognitive and Developmental Systems; Volume 12, Number 2, June 2020

1. Guest Editorial Special Issue on Multidisciplinary Perspectives on Mechanisms of Language Learning
Author(s): Malte Schilling ; Katharina J. Rohlfing ; Paul Vogt ; Chen Yu ; Michael Spranger
Page(s): 134 - 138

2. An Epigenetic Approach to Semantic Categories
Author(s): Peter Gärdenfors
Page(s): 139 - 147

3. Quantifying the Role of Vocabulary Knowledge in Predicting Future Word Learning
Author(s): Nicole M. Beckage ; Michael C. Mozer ; Eliana Colunga
Page(s): 148 - 159

4. Neurocomputational Models Capture the Effect of Learned Labels on Infants’ Object and Category Representations
Author(s): Arthur Capelier-Mourguy ; Katherine E. Twomey ; Gert Westermann
Page(s): 160 - 168

5. Integrating Image-Based and Knowledge-Based Representation Learning
Author(s): Ruobing Xie ; Stefan Heinrich ; Zhiyuan Liu ; Cornelius Weber ; Yuan Yao ; Stefan Wermter ; Maosong Sun
Page(s): 169 - 178

6. Teach Your Robot Your Language! Trainable Neural Parser for Modeling Human Sentence Processing: Examples for 15 Languages
Author(s): Xavier Hinaut ; Johannes Twiefel
Page(s): 179 - 188

7. The Subject–Object Asymmetry Revisited: Experimental and Computational Approaches to the Role of Information Structure in Children’s Argument Omissions
Author(s): Eileen Graf ; Anna Theakston ; Daniel Freudenthal ; Elena Lieven
Page(s): 189 - 197

8. Social Reinforcement in Artificial Prelinguistic Development: A Study Using Intrinsically Motivated Exploration Architectures
Author(s): Juan M. Acevedo-Valle ; Verena V. Hafner ; Cecilio Angulo
Page(s): 198 - 208

9. Beyond the Self: Using Grounded Affordances to Interpret and Describe Others’ Actions
Author(s): Giovanni Saponaro ; Lorenzo Jamone ; Alexandre Bernardino ; Giampiero Salvi
Page(s): 209 - 221

10. When Object Color Is a Red Herring: Extraneous Perceptual Information Hinders Word Learning via Referent Selection
Author(s): Jessica S. Horst ; Katherine E. Twomey ; Anthony F. Morse ; Rosie Nurse ; Angelo Cangelosi
Page(s): 222 - 231

11. Adults Use Cross-Situational Statistics for Word Learning in a Conservative Way
Author(s): Suzanne Aussems ; Paul Vogt
Page(s): 232 - 242

12. Joint Attention in Hearing Parent–Deaf Child and Hearing Parent–Hearing Child Dyads
Author(s): Heather Bortfeld ; John S. Oghalai
Page(s): 243 - 249

13. Self-Supervised Vision-Based Detection of the Active Speaker as Support for Socially Aware Language Acquisition
Author(s): Kalin Stefanov ; Jonas Beskow ; Giampiero Salvi
Page(s): 250 - 259

14. Multimodal Turn-Taking: Motivations, Methodological Challenges, and Novel Approaches
Author(s): Katharina J. Rohlfing ; Giuseppe Leonardi ; Iris Nomikou ; Joanna Rączaszek-Leonardi ; Eyke Hüllermeier
Page(s): 260 - 271

15. Concrete Action Representation Model: From Neuroscience to Robotics
Author(s): John Nassour ; Tran Duy Hoa ; Payam Atoofi ; Fred Hamker
Page(s): 272 - 284

16. Applying a Psychotherapeutic Theory to the Modeling of Affective Intelligent Agents
Author(s): Yanet Sánchez ; Teresa Coma ; Antonio Aguelo ; Eva Cerezo
Page(s): 285 - 299

17. Interactions With Reconfigurable Modular Robots Enhance Spatial Reasoning Performance
Author(s): Minjing Yu ; Yong-Jin Liu ; Yulin Zhang ; Guozhen Zhao ; Chun Yu ; Yuanchun Shi
Page(s): 300 - 310

18. Facial Expression Recognition via Deep Action Units Graph Network Based on Psychological Mechanism
Author(s): Yang Liu ; Xingming Zhang ; Yubei Lin ; Haoxiang Wang
Page(s): 311 - 322

19. Regression-Based Continuous Driving Fatigue Estimation: Toward Practical Implementation
Author(s): Rohit Bose ; Hongtao Wang ; Andrei Dragomir ; Nitish V. Thakor ; Anastasios Bezerianos ; Junhua Li
Page(s): 323 - 331

20. Perceptual Modeling of Tinnitus Pitch and Loudness
Author(s): Richard Gault ; Thomas Martin McGinnity ; Sonya Coleman
Page(s): 332 - 343

21. Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity
Author(s): Jinpeng Li ; Shuang Qiu ; Changde Du ; Yixin Wang ; Huiguang He
Page(s): 344 - 353

22. Intraindividual Completion Time Modulates the Prediction Error Negativity in a Virtual 3-D Object Selection Task
Author(s): Avinash Kumar Singh ; Hsiang-Ting Chen ; Klaus Gramann ; Chin-Teng Lin
Page(s): 354 - 360

23. A Concealed Information Test System Based on Functional Brain Connectivity and Signal Entropy of Audio–Visual ERP
Author(s): Wenwen Chang ; Hong Wang ; Zhiguo Lu ; Chong Liu
Page(s): 361 - 370

Special Issue on Artificial Intelligence and Edge Computing for Trustworthy Robots and Autonomous Systems
Page(s): 371 - 372

Special Issue on Intrinsically Motivated Open-Ended Learning
Page(s): 373 - 373

Special Issue on Emerging Topics on Development and Learning
Page(s): 374 - 374

Computational Intelligence

Wednesday, June 23, 2021

IEEE Transactions on Neural Networks and Learning Systems: Volume 32, Issue 6, June 2021

Tuesday, June 22, 2021

Soft Computing, Volume 25, issue 14, July 2021

Monday, June 21, 2021

IEEE Transactions on Cognitive and Developmental Systems; Volume 13, Number 2, June 2021

Wednesday, June 16, 2021

Soft Computing Volume 25, issue 13, July 2021

Tuesday, June 15, 2021

Soft Computing, Volume 25, issue 12, June 2021

Monday, June 14, 2021

Complex & Intelligent Systems, Volume 7, issue 3, June 2021

Special Issue: Knowledge fusion intelligent optimization for complex systems

Friday, June 11, 2021

Evolving Systems, Volume 12, issue 2, June 2021

Thursday, June 10, 2021

So little time....

Friday, May 28, 2021

Bias in AI

Saturday, July 25, 2020

Weekly Review 25 July 2020

Monday, June 22, 2020

IEEE Transactions on Cognitive and Developmental Systems; Volume 12, Number 2, June 2020

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